Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018:255:195-199.

Biomedical Informatics Investigator

Peter L Elkin  1 , Sarah Mullin  1 , Sylvester Sakilay  1
Affiliations

Biomedical Informatics Investigator

Peter L Elkin et al. Stud Health Technol Inform. 2018.

Abstract

The BMI Investigator is a computer human interface built in .Net which allows simultaneous query of structured data such as demographics, administrative codes, medications (coded in RxNorm), laboratory test results (coded in LOINC) and formerly unstructured data in clinical notes (coded in SNOMED CT). The ontology terms identified using SNOMED are all coded as either positive, negative or uncertain assertions. They are then where applicable built into compositional expressions and stored in both a graph database and a triple store. The SNOMED CT codes are stored in a NOSQL database, Berkley DB, and the structured data is stored in SQL using the OMOP/OHDSI format. The BMI investigator also lets you develop models for cohort selection (data driven recruitment to clinical trials) and automated retrospective research using genomic criteria and we are adding image feature data currently to the system. We performed a usability experiment and the users identified some usability flaws which were used to improve the software. Overall, the BMI Investigator was felt to be usable by subject matter experts. Next steps for the software are to integrate genomic criteria and image features into the query engine.

Keywords: Automated retrospective research; Clinical Research Informatics; Ontology; Recruitment to clinical trials; clinical genomic trial recruitment.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
BMI Investigator Data Entry
Figure 2.
Figure 2.
Results Page
Figure 3.
Figure 3.
Male / Female Rate of Anxiety Reporting
Figure 4.
Figure 4.
Age distribution of Anxiety Reporting
Figure 5:
Figure 5:
Genomic Data entry
See this image and copyright information in PMC

References

    1. Elkin PL, Bailey KR, Chute CG. A randomized controlled trial of automated term composition. Proc AMIA Symp. 1998:765–9. - PMC - PubMed
    1. PLElkin, Froehling D, Bauer BA, Wahner-Roedler D, Rosenbloom ST, Bailey K, Brown S. Aequus communis sententia:defining levels of interoperability Stud Health Technol Inform 2007;129(1):725–9. - PubMed
    1. Elkin PL, Brown SH, Chute CG. Guideline for health informatics: controlled health vocabularies--vocabulary structure and high-level indicators. Stud Health Technol Inform. 2001;84(Pt 1):191–5. - PubMed
    1. Elkin PL, Ruggieri AP, Brown SH, Buntrock J, Bauer BA, Wahner-Roedler D, Litin S, Beinborn J, Bailey K, Bergstrom L, A randomized controlled trial of the accuracy of clinical record retrieval using SNOMED-RT as compared with ICD9- CM. Proc AMIA Symp. 2001:159–63. - PMC - PubMed
    1. Elkin PL, Brown SH, Lincoln MJ, Hogarth M, Rector A. A formal representation for messages containing compositional expressions. Int J Med Inform. 2003;71(2–3):89–102. - PubMed

LinkOut - more resources